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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprs-archives-XLVI-3-W1-2022-125-2022</article-id>
<title-group>
<article-title>A PRECISE RANGING WITH SUBCARRIER DIVERSITY FOR 5G NR INDOOR POSITIONING</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Liu</surname>
<given-names>Z.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Chen</surname>
<given-names>L.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhou</surname>
<given-names>X.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ruan</surname>
<given-names>Y.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jiao</surname>
<given-names>Z.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Chen</surname>
<given-names>R.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Hubei Luojia Laboratory, Wuhan University, Wuhan, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>22</day>
<month>04</month>
<year>2022</year>
</pub-date>
<volume>XLVI-3/W1-2022</volume>
<fpage>125</fpage>
<lpage>131</lpage>
<permissions>
<copyright-statement>Copyright: © 2022 Z. Liu et al.</copyright-statement>
<copyright-year>2022</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/isprs-archives-XLVI-3-W1-2022-125-2022.html">This article is available from https://isprs-archives.copernicus.org/articles/isprs-archives-XLVI-3-W1-2022-125-2022.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/isprs-archives-XLVI-3-W1-2022-125-2022.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/isprs-archives-XLVI-3-W1-2022-125-2022.pdf</self-uri>
<abstract>
<p>Indoor positioning is an important component of location-based service. Moreover, it has extensive applications in areas such as the Internet of Things (IoT) and Artificial Intelligence (AI). As a new generation of the mobile communication signal, the introduction of technologies such as multi-carrier, massive multiple-input multiple-output (MIMO), and ultra-dense network (UDN) has enabled 5G NR signal to demonstrate unique technical advantages in the field of indoor positioning. In this paper, for indoor positioning, a subcarrier diversity precision ranging method based on a commercial 5G NR signal is proposed. According to the results of field experiments in the indoor environment, the proposed method significantly improves the ranging precision compared to the Reference Signal Receiving Power (RSRP)-based ranging method. When the diversity ratio is set to 0.25, the 95% cumulative distribution function (CDF) of the overall ranging error is less than 3 meters.</p>
</abstract>
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